Prioritize variables in observational study design through the joint variable importance plot; shiny app: https://ldliao.shinyapps.io/jointVIP/
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Updated
Nov 13, 2024 - HTML
Prioritize variables in observational study design through the joint variable importance plot; shiny app: https://ldliao.shinyapps.io/jointVIP/
Literature and simulation (using R) resources for the study design and statistical analysis of RAND/UCLA Method (RAM) consensus studies.
A scoping review of Avoidable WAste in REsearch (AWARE) and a tool to inform academics, clinicians, patient and public partners, policy-makers, and funders on how to reduce research waste in health and biomedical sciences. In development.
This repository is used for a simulated scripted exposure study in Potsdam. The aim of the study is to assess air quality using sonification. The study design should ensure robust air quality values and good comparability during the study.
Sample size estimation for single cell studies
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